From One to Many: Planning for Loosely Coupled Multi-Agent Systems

By Ronen I. Brafman, Carmel Domshlak. 2008

257 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Tim Miller
2. Kacper Sokol
3. Q. Liao
4. Robert R. Hoffman
5. Giulia Vilone
6. Shane T. Mueller
7. Sarath Sreedharan
8. Upol Ehsan

Citations in the corpus

• Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “rocess. 3.6.3. Collective Intelligence The research into behaviour attribution of groups (Section 3.4) is important for those working in collective intelligence; areas such as in multi-agent planning [6], computational social choice [14], or argumentation [4]. Although this line of work appears to b”
• Capability Models and Their Applications in Planning (2015, unknown): “This assumption of complete knowledge is also the default in the existing multi-agent planning systems [3].”
• A review of learning planning action models (2018, unknown): “The learnt actions are represented in the MA-STRIPS language which is more adapted for a multi-agent setting (Brafman & Domshlak (2008)).”